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Published on: July 28, 2023
Time of Emergence and Large Ensemble Intercomparison for Ocean Biogeochemical Trends
Sarah Schlunegger1, Keith B Rodgers1,2,3, Jorge L Sarmiento1
1Program in Atmospheric and Oceanic Sciences Princeton University Princeton NJ USA.
Detecting ocean biogeochemistry changes requires separating human impacts from natural variability. This study uses Earth system models to estimate when these human-driven changes will emerge, finding faster emergence for temperature and carbon invasion than for biological processes.
Area of Science:
- Oceanography
- Climate Science
- Biogeochemistry
Background:
- Anthropogenic changes impact ocean biogeochemistry, affecting the carbon sink and marine ecosystems.
- Detecting these changes necessitates quantifying the human-induced signal against natural climate variability (noise).
Purpose of the Study:
- To estimate the Time of Emergence (ToE) for anthropogenic signals in key ocean biogeochemical variables.
- To partition projection uncertainty, including internal variability and model differences, for these signals.
Main Methods:
- Utilized Large Ensemble (LE) experiments from four Earth system models (ESMs).
- Employed multiple emissions scenarios to analyze five upper-ocean biogeochemical variables.
- Estimated ToE and quantified uncertainty sources.
Main Results:
- Sea surface temperature and anthropogenic carbon invasion show robust ToEs (20-30 years) across models.
- Biological carbon pump, sea surface chlorophyll, and salinity have longer, less robust ToEs (50+ years), sensitive to scenarios.
- Internal variability and model differences significantly contribute to projection uncertainty.
Conclusions:
- This study provides a comprehensive characterization of biogeochemical emergence timescales and uncertainties.
- Findings highlight the need for specific spatial and temporal scales in marine observing systems to detect anthropogenic change.
- Understanding emergence times is crucial for effective ocean carbon sink management and marine habitat protection.
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